Episodic memory and episodic future thinking in adults with autism.

The ability to remember past experiences (episodic memory) is thought to be related to the ability to imagine possible future experiences (episodic future thinking). Although previous research has established that individuals with autism spectrum disorder (ASD) have diminished episodic memory, episodic future thinking has not previously been investigated within this population. In the present study, high-functioning adults with ASD were compared to closely matched typical adults on a task requiring participants to report a series of events that happened to them in the past and a series of events that might happen to them in the future. For each event described, participants completed two modified Memory Characteristics Questionnaire items to assess self-reported phenomenal qualities associated with remembering and imagining, including self-perspective and degree of autonoetic awareness. Participants also completed letter, category, and ideational fluency tasks. Results indicated that participants with ASD recalled/imagined significantly fewer specific events than did comparison participants and that participants with ASD demonstrated impaired episodic memory and episodic future thinking. In line with this finding, participants with ASD were less likely than comparison participants to report taking a field (first-person) perspective and were more likely to report taking an observer (third-person) perspective during retrieval of past events (but not during simulation of future events), highlighting that they were less likely to mentally reexperience past events from their own point of view. There were no group differences in self-reported levels of autonoetic awareness or fluency task performance

Program representation size in an intermediate language with intersection and union types

The CIL compiler for core Standard ML compiles whole programs using a novel typed intermediate language (TIL) with intersection and union types and flow labels on both terms and types. The CIL term representation duplicates portions of the program where intersection types are introduced and union types are eliminated. This duplication makes it easier to represent type information and to introduce customized data representations. However, duplication incurs compile-time space costs that are potentially much greater than are incurred in TILs employing type-level abstraction or quantification. In this paper, we present empirical data on the compile-time space costs of using CIL as an intermediate language. The data shows that these costs can be made tractable by using sufficiently fine-grained flow analyses together with standard hash-consing techniques. The data also suggests that non-duplicating formulations of intersection (and union) types would not achieve significantly better space complexity.National Science Foundation (CCR-9417382, CISE/CCR ESS 9806747); Sun grant (EDUD-7826-990410-US); Faculty Fellowship of the Carroll School of Management, Boston College; U.K. Engineering and Physical Sciences Research Council (GR/L 36963, GR/L 15685

Making Digital Infrastructures More Generative Through Platformization and Platform- driven Software Development: An Explorative Case Study

Digital innovation platforms are particularly known for their generativity producing and reproducing flexible solutions for multiple user groups and attracting third-party developers. Consequently, as a concept, generativity often relates to the consumer market as its focal unit of analysis. In contrast, this paper takes a public sector organization as a unit of analysis, investigating the potential for developing more generative digital infrastructures through processes of platformization and platform-driven software development practices. We define platformization as the transition from silo-based organization to platform-based organization, where the dismantling of monolithic legacy systems enables new ways of organizing the development and maintenance of software development. By decoupling systems, organizations can recouple their organization to overcome the limitations of traditional silo-based organization. Our contribution is twofold. First, we contribute by describing platformization as a sociotechnical process that consist of changes to both infrastructure and organization, where the dismantling of monolithic applications enables new ways of organizing the development and maintenance of software. Second, we contribute by theorizing how platformization processes can produce increased generativity for the IT organization and its digital infrastructure

A Patterning Approach to Complexity Thinking and Understanding for Students: A Case Study

Complexity thinking and understanding are vital skills for young people in these times of uncertainty and change. Such skills contribute to resilience and capacities for adaptivity and innovation. Within my teaching practice I have found students to be aware of complex dynamics, uncertainty and change, both in their lives and in the world. However, the current curriculum lacks language and process to conceptualise, articulate and develop complexity understanding. To address this problem, I developed and introduced a patterns-based design and process to a cohort of Australian secondary students. Comprising flowform patterning together with ecological metaphors, the design forms a conceptual language and practical process for thinking about, understanding and engaging with complex phenomena and change. Together these capacities are described here as complexity competence. Implemented initially to engage with time as a complex phenomenon, the design is described as the Patterns of Humantime (PHT), and the process of implementation as Complexity Patterning. Implementation during the development phase demonstrated the design’s capacity as a way to understand time as a complex phenomenon, as well as facilitating a relational and identity development approach to learning. In more recent research workshops with American undergraduate Liberal Studies students, the PHT design showed to be effective for understanding complexity and indicated the design’s capacity as a patterning process for engaging in collaborative projects in complex situations of diversity, change and uncertainty. Avenues to develop curriculum and evaluation materials, as well as professional development workshops, are being explored

Developmental motifs reveal complex structure in cell lineages

Many natural and technological systems are complex, with organisational structures that exhibit characteristic patterns, but defy concise description. One effective approach to analysing such systems is in terms of repeated topological motifs. Here, we extend the motif concept to characterise the dynamic behaviour of complex systems by introducing developmental motifs, which capture patterns of system growth. As a proof of concept, we use developmental motifs to analyse the developmental cell lineage of the nematode Caenorhabditis elegans, revealing a new perspective on its complex structure. We use a family of computational models to explore how biases arising from the dynamics of the developmental gene network, as well as spatial and temporal constraints acting on development, contribute to this complex organisation